Speaker
Description
Process monitoring in forming technology can serve as a basis for transparent manufacturing and closed-loop control systems. Particularly, sensor systems associated with tool clamping interfaces offer great potential for robust inline process monitoring. However, the direct evaluation of only one sensor or even pure sensor data is hardly sufficient or not possible due to complex interdependencies at the tool clamping interface.
In this paper, a concept to monitor deep drawing processes combined with digital twin-based approaches for virtual sensors is introduced. Here, sensors integrated into tool clamping surfaces in forming machines are enhanced by a digital twin representing the elasto-mechanical behavior of the tool clamping interfaces during the deep drawing. Moreover, strategies to identify digital twins and their transfer to evaluation algorithms are highlighted. The resulting approach is not only covered by simulative analysis but also by experimental investigations.
| Speaker Country | Germany |
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